Title :
A content-based video browsing system based on visual neighbor similarity
Author_Institution :
Wisconsin-Milwaukee Univ., Milwaukee, WI
Abstract :
A new interactive shot level video navigation system is developed to support three types of content-based browsing functions: neighbor clustering, visual similarity, and visual neighbor similarity (VNS) browsing
Keywords :
content-based retrieval; user interfaces; video retrieval; content-based video browsing system; neighbor clustering; visual neighbor similarity; Algorithm design and analysis; Clustering algorithms; Content based retrieval; Displays; Information retrieval; Information systems; Multimedia systems; Navigation; Switches; User interfaces; content-based browsing; video retrieval;
Conference_Titel :
Digital Libraries, 2006. JCDL '06. Proceedings of the 6th ACM/IEEE-CS Joint Conference on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
1-59593-354-9
DOI :
10.1145/1141753.1141869
